Assessment of ecological environment in arid region based on the improved remote sensing ecological index: A case study of Wuchuan County, Inner Mongolia at the northern foot of Yin Mountains.

Q3 Environmental Science 应用生态学报 Pub Date : 2024-07-18 DOI:10.13287/j.1001-9332.202407.023
Chaoligeer, An Xing, Ru-Han A, Zi-Ying Sun, Xiao-Han Sun
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Abstract

Real-time assessment of ecological environment quality in arid and semi-arid regions is crucial for the sustainable development of ecological environments in China. In this study, we constructed a topsoil remote sensing ecological index (TRSEI) by coupling five indicators, greenness, wetness, dryness, topsoil grain size, and heat, with the Google Earth Engine (GEE). With the index, we evaluated the ecological environment quality of Wuchuan County from 1990 to 2020, and examined the spatio-temporal variations of ecological environment quality and its driving factors by using univariate linear regression, multiple regression residual analysis, and Hurst index. Results showed that the first principal component of the TRSEI in the study area contributed over 70%, with a mean eigenvalue of 0.148, indicating the effective integration of various ecological indicators by TRSEI. The topsoil grain size index was essential for the assessment of ecological environment quality in arid and semi-arid regions. From 1990 to 2020, the fluctuation range of TRSEI in the study area was between 0.289 and 0.458, showing an overall slight deterioration trend. The ecological environment quality of cropland and de-farming region had improved, with the improved area accounting for 47.9% of the total area. The grassland, barren land, and construction land areas had deteriorated, with the deteriorated area accounting for 52.1% of the total area. In the future, 36.9% of the regions would experience continuous improvement in ecological environment quality, while 41.4% might continue to dete-riorate. Human activities were the primary driving factor for the changes in ecological environment quality in arid and semi-arid regions, accounting for 88.6% of the total area. Climate change also had a significant impact, accounting for 11.4% of the total area. The TRSEI could effectively assess the ecological environment quality of arid and semi-arid regions, providing a scientific basis for ecological conservation and construction in these areas.

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基于改进的遥感生态指数的干旱地区生态环境评估:阴山北麓内蒙古武川县案例研究。
干旱半干旱地区生态环境质量的实时评估对中国生态环境的可持续发展至关重要。本研究利用谷歌地球引擎(GEE),将绿度、湿度、干度、表土粒径和热量五个指标耦合,构建了表土遥感生态指数(TRSEI)。利用该指数对武川县 1990-2020 年生态环境质量进行了评价,并采用单变量线性回归、多元回归残差分析和 Hurst 指数等方法研究了生态环境质量的时空变化及其驱动因素。结果表明,研究区 TRSEI 的第一主成分贡献率超过 70%,平均特征值为 0.148,表明 TRSEI 对各种生态指标进行了有效整合。表土粒度指数对干旱半干旱地区生态环境质量评价至关重要。从 1990 年到 2020 年,研究区 TRSEI 的波动范围在 0.289 到 0.458 之间,总体呈轻微恶化趋势。耕地和非耕地区域生态环境质量有所改善,改善面积占总面积的 47.9%。草地、荒地、建设用地生态环境质量有所恶化,恶化面积占总面积的 52.1%。未来,36.9%的地区生态环境质量将持续改善,41.4%的地区可能继续恶化。人类活动是干旱和半干旱地区生态环境质量变化的主要驱动因素,占总面积的 88.6%。气候变化也产生了重大影响,占总面积的 11.4%。TRSEI 可以有效评估干旱半干旱地区的生态环境质量,为这些地区的生态保护和建设提供科学依据。
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来源期刊
应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
自引率
0.00%
发文量
11393
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Assessment of ecological environment in arid region based on the improved remote sensing ecological index: A case study of Wuchuan County, Inner Mongolia at the northern foot of Yin Mountains. Bird diversity in semi-humid evergreen broad-leaved forest patches on the central Yunnan Plateau, Southwest China. Construction of ecological security pattern in Loess Plateau counties by integrating structural connectivity and functional enhancement: A case study of Ansai District, Yan'an City, Northwest China. Difference of water source of two Ammopiptanthus mongolicus communities in Ulan Buh Desert, China. Differences in Cladonia rangiferina nitrogen uptake capacity between ammonium and nitrate with uptake kinetics.
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